fix(nn.Module): Temporarily add a try-except block in model.call to d…

…eal with multiple arguments when run as a keras model

ivy/functional/frontends/torch/nn/modules/module.py

@@ -109,7 +109,10 @@ def forward(self, *input: Any) -> None:
 
     def call(self, inputs, *args, training=None, mask=None, **kwargs):
         if isinstance(inputs, (list, tuple)):
-            return self.forward(*inputs, *args, **kwargs)
+            try:
+                return self.forward(*inputs, *args, **kwargs)
+            except Exception:
+                return self.forward(inputs, *args, **kwargs)
         else:
             return self.forward(inputs, *args, **kwargs)